Enhancing feature fusion with spatial aggregation and channel fusion for semantic segmentation
Abstract Semantic segmentation is crucial to the autonomous driving, as an accurate recognition and location of the surrounding scenes can be provided for the street scenes understanding task. Many existing segmentation networks usually fuse high‐level and low‐level features to boost segmentation pe...
Main Authors: | Jie Hu, Huifang Kong, Lei Fan, Jun Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-09-01
|
Series: | IET Computer Vision |
Online Access: | https://doi.org/10.1049/cvi2.12026 |
Similar Items
-
Image Semantic Segmentation Method with Hierarchical Feature Fusion
by: ZHAO Xiaoqiang, XU Huiping
Published: (2021-05-01) -
Multilevel feature fusion dilated convolutional network for semantic segmentation
by: Tao Ku, et al.
Published: (2021-04-01) -
Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion
by: Jing Du, et al.
Published: (2021-02-01) -
Image Feature Matching Based on Semantic Fusion Description and Spatial Consistency
by: Wei Zhang, et al.
Published: (2018-12-01) -
Dilated Semantic Segmentation for Breast Ultrasonic Lesion Detection Using Parallel Feature Fusion
by: Rizwana Irfan, et al.
Published: (2021-07-01)